• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Dynamic Channel Switching Policy Through P-learning for Wireless Mesh Networks

Vol. 10, No. 2, February 28, 2016
10.3837/tiis.2016.02.010, Download Paper (Free):

Abstract

Wireless mesh networks (WMNs) based on IEEE 802.11s have emerged as one of the prominent technologies in multi-hop communications. However, the deployment of WMNs suffers from serious interference problem which severely limits the system capacity. Using multiple radios for each mesh router over multiple channels, the interference can be reduced and improve system capacity. Nevertheless, interference cannot be completely eliminated due to the limited number of available channels. An effective approach to mitigate interference is to apply dynamic channel switching (DCS) in WMNs. Conventional DCS schemes trigger channel switching if interference is detected or exceeds a predefined threshold which might cause unnecessary channel switching and long protocol overheads. In this paper, a P-learning based dynamic switching algorithm known as learning automaton (LA)-based DCS algorithm is proposed. Initially, an optimal channel for communicating node pairs is determined through the learning process. Then, a novel switching metric is introduced in our LA-based DCS algorithm to avoid unnecessary initialization of channel switching. Hence, the proposed LA-based DCS algorithm enables each pair of communicating mesh nodes to communicate over the least loaded channels and consequently improve network performance.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
M. K. Hossain, T. C. Keong, L. C. Kwang and Y. C. Yeow, "A Dynamic Channel Switching Policy Through P-learning for Wireless Mesh Networks," KSII Transactions on Internet and Information Systems, vol. 10, no. 2, pp. 608-627, 2016. DOI: 10.3837/tiis.2016.02.010.

[ACM Style]
Md. Kamal Hossain, Tan Chee Keong, Lee Ching Kwang, and Yeoh Chun Yeow. 2016. A Dynamic Channel Switching Policy Through P-learning for Wireless Mesh Networks. KSII Transactions on Internet and Information Systems, 10, 2, (2016), 608-627. DOI: 10.3837/tiis.2016.02.010.